2027 MDIC Innovators Forum
March 1-4, 2027 | College Park Marriott & Conference Center | Hyattsville, MD
Submit Your Session Proposal by August 7
Start your submission process by reviewing the themes listed under the learning track aligned to your session, then complete the form that follows. We’re seeking your most innovative ideas and have created a simple, streamlined proposal form to encourage your participation.
Submissions are reviewed in the order they are received—so don’t delay! Accepted presenters receive a complimentary registration to the Innovators Forum.
PRIORITY DEADLINE: August 7, 2026 | Questions? Info@MDIC.org
MDIC Innovators Forum Learning Tracks
Building on the success of our past Symposium on Computational Modeling & Simulation, the CM&S: Digital Evidence, Real Decisions symposium-style learning track, we are seeking session proposals that include (but are not limited to) the following themes:
- AI/ML for Data Mapping, Feature Extraction, or Image Processing
- AI/ML Surrogate, Reduced‑Order, Statistical, or Generative Models
- Hybrid Models Combining AI/ML and Physics‑Based Simulation
- Digital Twins and Virtual Patient Models
- Patient‑Specific Modeling Methods and Applications
- Population‑Based or Virtual Cohort Modeling
- In Silico Clinical Trials
- End‑to‑End Modeling, Validation, or Credibility Case Studies
- Model Verification and Validation (V&V)
- Uncertainty Quantification and Sensitivity Analysis
- Risk Assessment and Context of Use Definition
- Credibility Assessment of Computational Models
- Bench‑Top or Experimental Comparators
- In Vivo or Clinical Data Comparators
- Diagnostic Evidence from CM&S
- Workflow Automation or Toolchain Integration
- Regulatory-grade CM&S evidence
- Global Harmonization of CM&S Evidence
For our High Impact Evidence Across the Lifecycle learning track, we are seeking session proposals that include (but are not limited to) the following themes:
- Patient-Centered Evidence
- AI and Clinical Trial Efficiency
- Clinical Trial Innovation
- Excellence in Early Feasibility Studies
- Evidence to Enhance the Coverage Journey
- PPI for Regulatory Strategy
For our Innovations in Connected Healthcare Technology learning track, we are seeking session proposals that include (but are not limited to) the following themes:
- Applying FDA Policies in Connected Care Ecosystems
- When Does Your AI-Enabled Product Become Regulated? (Intended Use & Design Decisions)
- Enforcement Discretion to Medical Device: Designing with Optionality
- Consumer Health Tech vs Medical Devices: Where Is the Line?
- Building Interoperable Device Ecosystems
- Data Quality & Governance in Connected Care Systems
- Cybersecurity Across Connected Health Ecosystems
- Operationalizing AI in Clinical Workflows
- CMS & Reimbursement Pathways for Connected Care (e.g., ACCESS, remote care)
- FDA READI & Home-Based Care Innovation Programs
- Designing for Adoption: Human Factors + Workflow Integration
- MedXR Beyond Communication: Diagnosis, Treatment, and Monitoring
- Wearables in the Clinical Ecosystem: From Wellness to Regulated Use
- Real-World Evidence in Connected Ecosystems
- Quality Systems for Connected Care (Device + Non-device Integration)
- Interoperability Bootcamp (Standards, QMS, Product, Case Studies)
- Building Regulatory-Ready AI Systems
- The Business Case: Designing for Reimbursement Early
- Patient-Facing Connected Care: Trust, UX, and Engagement
- From Pilot to Scale: Translating Connected Care into Health Systems
- Government Funding & Policy Landscape for Connected Care
For our Real-World Evidence for Regulatory Success learning track, we are seeking session proposals that include (but are not limited to) the following themes:
- Operationalizing Data-Driven Advancement
- Trailblazing Evidence Pathways
- Building Trust through RWD
- Emerging Practices in Evidence Generation
- Case Studies in Regulatory Success
For our Unlocking Acceleration with Quality Excellence learning track, we are seeking session proposals that include (but are not limited to) the following themes:
- Modernizing Post-Market Quality Systems
- AI in the Quality System
- Operationalizing QSMR
- Cybersecurity in the Age of AI
- Human Factors
- Quality in the Pre-Market Mindset